Robotics & Machine Learning Daily News2024,Issue(Jul.16) :63-64.

Study Data from Hohai University Update Understanding of Machine Learning (A Mac hine-learning-based Peridynamic Surrogate Model for Characterizing Deformation a nd Failure of Materials and Structures)

Robotics & Machine Learning Daily News2024,Issue(Jul.16) :63-64.

Study Data from Hohai University Update Understanding of Machine Learning (A Mac hine-learning-based Peridynamic Surrogate Model for Characterizing Deformation a nd Failure of Materials and Structures)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating in Nanjing, Peop le’s Republic of China, by NewsRx journalists, research stated, “Itis necessary to determine the input features and output results when constructing a surrogat e modelwithin the data-driven neural network. Since the law of features would b e restrained when the surrogate mechanical model is employed, it is still a chal lenge to build a set of natural features to accurately describethe failure proc ess of materials and structures within the traditional continuum mechanics frame work.”

Key words

Nanjing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Hohai University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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